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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 11
3309-3314

Outlier detection method using adaptive neighbor graph

Gou Pengfei
Song Chengyun
College of Computer Science & Engineering, Chongqing University of Technology, Chongqing 400054, China
DOI: 10.19734/j.issn.1001-3695.2023.04.0127

Abstract

The objective of outlier detection is to recognize individuals within a dataset who exhibit marked dissimilarity from other samples, commonly referred to as outliers, to detect anomalies or aberrant states in the data. Numerous existing outlier detection methods struggle to handle complex, nonlinearly distributed data, and suffer from the problems of parameter sensiti-vity and diverse data distribution. To address these challenges, the proposed method introduced a novel graph structure called the adaptive neighbor graph. The adaptive neighbor graph was edge-oriented and performed feature extraction iteratively. Also, this method calculated the neighbor reachability to identify outliers. This approach mitigated the influence of parameter and could handle data with various distributions. To evaluate its performance, the proposed method was compared with other methods on both synthetic datasets and real-world datasets. The experimental results indicate that the proposed method achieves the top ranking on average across all 19 datasets while maintaining high precision and stability.

Foundation Support

重庆理工大学研究生教育高质量发展行动计划资助项目(gzlcx20232062)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.04.0127
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 11
Section: Algorithm Research & Explore
Pages: 3309-3314
Serial Number: 1001-3695(2023)11-016-3309-06

Publish History

[2023-07-05] Accepted Paper
[2023-11-05] Printed Article

Cite This Article

缑鹏飞, 宋承云. 基于自适应邻居图的离群点检测方法 [J]. 计算机应用研究, 2023, 40 (11): 3309-3314. (Gou Pengfei, Song Chengyun. Outlier detection method using adaptive neighbor graph [J]. Application Research of Computers, 2023, 40 (11): 3309-3314. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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